A document by Xiaomeng Wang. Click on the document to view its contents.

The Norwegian government recently agreed on the goal 30by40 which involves opening Norwegian offshore areas to host 30 GW of installed wind power by 2040 (Regjeringen, 2022).We address this goal by presenting a first mapping of wind power suitability scores (WPSS) for the entire Norwegian economic zone (NEZ) using a multi-criteria decision analysis framework (MCDA), including an analytical hierarchical process (AHP) approach. We obtain WPSS considering relevant criteria like wind resources, techno-economic aspects, social acceptance, environmental considerations, and met-ocean constraints such as wind and wave conditions. The results starts with a baseline scenario, where the criteria importance are pair-vise compared in the context of balancing economic incentives and conflicting interests. Additionally, to reveal regions that are robust to changes in criteria importance we carry out a sensitivity analysis by introducing three additional scenarios. These scenarios represent actors with distinct preferences for siting of wind farms: the investor, the environmentalist, and the fisherman. The results show that the southern part of the NEZ is the most suitable region for offshore wind power deployment. This region receives the highest suitability category (“very high” suitability for wind power application) throughout all the scenarios. Areas in the Norwegian part of the Barents Sea and the near-coastal areas outside mid-Norway are also well suited regions, but these are more sensitive to the choice of criteria importance. The use of AHP within the framework of MCDA is shown to be a promising tool for pinpointing the best Norwegian offshore areas for wind power application.

The effects of mechanical and microstructural anisotropy on short fatigue crack initiation and propagation behaviours of a directionally superalloy have been studied. An unusual result was found where the fatigue lives of specimens with grains longitudinally aligned along the loading direction fail at lower lifetimes than the specimens with transversely loaded grains when the applied stress is close to the yield stress. This is mainly attributed to the lower Young’s modulus of the longitudinal specimen, which induces more local plastic strain (at stress concentration features) leading to earlier crack initiation and faster crack propagation under the applied test stress.

The increasing growth of agro-industrial activity resulting in excessive amounts of agri-waste has led to the accumulation of a large quantity of lignocellulosic residues all over the world, in particular, deforestation initiatives for the removal of invasive trees in South Africa. These lignocellulosic residues are rich in energy resources consisting of a mixture of natural polymers based on lignin, cellulose and hemicellulose. The use of lignolytic fungi such as mushrooms in solid-state fermentation could sufficiently degrade the indigestible lignocellulosic components and add medicinal and nutritional value to otherwise unusable, high-energy waste material. The digestive type of animal for which the potential feed is developed must be identified and considered before deciding on the bioconversion method and process, since the outcomes for obtaining potentially high-quality feeds for non-ruminant and ruminant animals are different. The current study presents the data of the bioconversion of lignocellulosic substrate using solid-state fermentation with the edible and medicinal mushrooms, Ganoderma lucidum, Pleurotus ostreatus, and a possible new species, to increase digestibility and nutritional value to be applied as ruminant animal feed. The solid-state fermentation process was optimised and the resulting product analysed for the degradation of the lignocellulosic components. Results indicated that the solid-state fermentation duration and mushroom species were key components in achieving significant degradation. Data obtained after 18 weeks of degradation indicated a significant (p < 0.05) reduction in the acid detergent fibre, acid detergent lignin and neutral detergent fibre fractions of the biomass, with up to 20% reduction in indigestible components.

The purpose of text classification is to label the text with known labels. In recent years, the method based on graph neural network (GNN) has achieved good results. However, the existing methods based on GNN only regard the text as the set of co-occurring words, without considering the position information of each word in the statement. Meanwhile, this method mainly extracts node features, but neglects the use of edge features between nodes. To solve these problems, a new text classification method, graph convolutional network using positions and edges (PEGCN), is proposed. In the word embedding section, a positional encoding input representation is employed to enable the neural network to learn the relative positional information among words. Meanwhile, the dimension of the adjacency matrix is increased to extract the multi-dimensional edge features. Through experiments on multiple text classification datasets, the proposed method is shown to be superior to the traditional text classification method, and has achieved a maximum improvement of more than 4%.

We investigated the gross and ultrastructure morphology of the mandibles, labial palpus and mandibular palpus of adult male and female Glenea cantor beetles using scanning electron microscopy. There were significant differences between males and females in the gross and ultrastructure morphology of these parts. Observation of the gross morphology of the mandible, labial palpus and mandibular palpus revealed that their lengths were significantly greater in females, which is mainly related to the oviposition mechanism. In terms of the ultrastructural morphology of the mandibles, labial palpus and mandibular palpus, seven types of sensilla were found on these parts: sensilla twig basiconica (STB I, II, III, and IV), sensilla chaetica (SCh IV and V), Böhm’s bristles (Bb), sensilla placodea (SP), sensilla trichodea (ST II), sensilla plate (SP), sensilla coeloconica (SC) and sensilla campaniformia (SCa). Females have significantly more ST I and SCh III on their mandibles than males. The mechanical sensors SCh and Bb, olfactory sensor ST II, taste sensor STB IV, and carbon dioxide sensor and temperature and humidity sensors SC, SP and SCa were significantly more developed on female than male labial and maxillary palps, which also further explained the important role of the oral appendages in oviposition behavior. These results will help us further understand the host selection and oviposition behavior of adult G. cantor and promote the information-based design of pest control methods.

Objectives: Although various studies have been performed on the function of polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) in RA, the results were conflicting. Here we were trying to clarify the role of PMN-MDSCs in the pathogenesis of RA and its specific mechanisms. Methods: We detected the frequencies and counts of PMN-MDSCs, TNF- + B cells, and Ki67 + B cells in spleens and inflamed joints of collagen-induced arthritis (CIA) mice using flow cytometry. The pathological role of PMN-MDSCs was examined by anti-Ly6G neutralizing antibodies against PMN-MDSCs or adoptive transfer of PMN-MDSCs. And the modulation of PMN-MDSCs on B cells was conducted by coculture assays, RNA-Seq, RT-qPCR, etc. The mechanism of BAFF regulating B cells was verified through Western Blot and flow cytometry. Results: PMN-MDSCs accumulated in the spleens and joints of CIA mice. PMN-MDSCs depletion could alleviate the arthritis severity, which was accompanied by decreased TNF- secretion and proliferation of B cells. And its adoptive transfer also facilitated disease progress. Furthermore, PMN-MDSCs from CIA mice had higher expression level of BAFF, which regulated TNF- expression, proliferation and apoptosis of B cells in vitro. What’s more, BAFF promoted phosphorylation of BTK/NF-B signaling pathway. And Ibrutinib (BTK inhibitor) could reverse the effect of BAFF on TNF- expression. Conclusions: Our study suggested that PMN-MDSCs enhanced disease severity of CIA and manipulated TNF- expression, proliferation and apoptosis of B cells via BAFF, furthermore, BAFF promoted TNF- expression through BTK/NF-B signaling pathway, which demonstrated a novel pathogenesis of PMN-MDSC in CIA.

Background: The transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is complex and multifactorial. We aimed to identify the risk factors for infection among the household contacts of index patients and to determine the incubation period, serial interval, and estimates of secondary infection rate. Methods: We conducted a study in three districts of Kerala among the inhabitants of households of reverse transcriptase polymerase chain reaction (RT-PCR)-positive coronavirus disease (COVID-19) patients between January and July 2021. COVID-19-positive patients and corresponding contacts were enrolled and followed up for 28 days to determine RT-PCR positivity and the presence of total antibodies against SARS-CoV-2 on days 1, 7, 14, and 28 from the date of enrolment. Results: The mean incubation period, serial interval, and generation time were 1.6, 3, and 3.9 days, respectively. The secondary infection rate was 43.0%. Individuals who worked outside the home were protected, whereas those who had kissed the COVID-19-positive patients during illness were more than twice at risk of infection than those who had not kissed the COVID-19-positive patients. Similarly, the contacts who had shared a toilet with the COVID-19-positive patients were more at risk than those who had not shared a toilet. However, the contacts who reported using masks were at a higher risk of infection in household settings. Conclusions Assessment of SARS-CoV-2 transmission in household settings is important, considering its high secondary infection rate. Close physical contact and toilet sharing increase the risk of infection. This study demonstrates shorter incubation period and serial interval.

Manuscript prepared for submission to Clinical Case Reports

Sinoscopy consists on direct visualization of the paranasal sinuses and was first conceived for diagnostic purposes using an endoscope through a skull trephination. Since then, the use and approaches to perform it have evolved thanks to current advancements in knowledge (sinus anatomy and pathology) and technology. The aim of this study is to review the techniques reported to perform traditional and minimally invasive sinoscopy and to review the current use of sinoscopy to treat paranasal sinus disease. The history of sinoscopy, as we know it today, is relatively recent but its use among clinicians is not necessarily widespread due to the invasiveness of the traditional technique when compared to imaging techniques. This limitation could be bypassed using the newer intranasal or extranasal minimally invasive sinoscopic approaches. These techniques allowed sinoscopic visualization through natural orifices or minimally invasively created openings. Despite the potential of these techniques, case selection is still crucial as visualization can be limited in selected pathologies (i.e: sinus cyst), some sinuses (i.e: rostral maxillary with intranasal approaches) and if haemorraghe or severe exudate accumulation is found. Nevertheless, sinoscopy offers a diagnostic rate superior to traditional imaging and it is an alternative diagnostic tool when advanced imaging techniques, such as CT, are not available. In recent years, sinoscopic treatment is progressively replacing the use of sinusotomies to treat most sinus pathologies. Sinoscopic treatment yields a high resolution rate while complications are kept low. Familiarization with sinoscopic techniques and in-depth anatomic sinus knowledge will likely make sinoscopy the gold standard technique to treat sinus disease in the short future.

This work presents an investigation on the numerical simulation of a layered piezoelectric system using the complex finite element method (ZFEM). This approach allows the standard FEM solution to provide information about the design sensitivity of the mechanical displacement and voltage potential fields with respect to small variations in the material properties of the system. The layered body is formed by PZT-4 and PZT-5 stacked together. Results show that the design sensitivities of the soft grounded piezoelectric are larger compared to those of PZT-4 for the specific configuration analyzed. For solution verification purposes. The standard steady state solution was compared against a commercial FEM package and the error obtained was less than 4%.

A document by Kentaro Shirakura. Click on the document to view its contents.

The process and mechanism of biomineralization and relevant physicochemical properties of mineral crystals are remarkably sophisticated multidisciplinary fields that include biology, chemistry, physics, and materials science. The components of the organic matter, structural construction of minerals, and related mechanical interaction, etc., could help to reveal the unique nature of the special mineralization process. Herein, the paper provides an overview of the biomineralization process from the perspective of molecular vibrational spectroscopy, including the physicochemical properties of biomineralized tissues, from physiological to applied mineralization. These physicochemical characteristics closely to the hierarchical mineralization process include biological crystal defects, chemical bonding, atomic doping, structural changes, and content changes in organic matter, along with the interface between biocrystals and organic matter as well as the specific mechanical effects for hardness and toughness. Based on those observations, the special physiological properties of mineralization for enamel and bone, as well as the possible mechanism of pathological mineralization and calcification such as atherosclerosis, tumor micro mineralization, and urolithiasis are also reviewed and discussed. Indeed, the clearly defined physicochemical properties of mineral crystals could pave the way for studies on the mechanisms and applications.

The biogeography research of orchids through species distribution models (SDMs), a vital tool in the biogeography field, is critical to understanding the fundamental geographic distribution patterns and identifying conservation priorities. The correspondence between species occurrence and environmental information is crucial to the model’s performance. However, ecological preferences unique to different orchid species, such as their life forms, are often overlooked during the modeling process. This oversight can introduce bias and increase model uncertainty. Additionally, human activities, as an important potential predictor, have not been quantified in any orchid SDMs. Taking the Hengduan Mountains as an example, we preprocessed all orchid species’ occurrences based on physiological characteristics. Choosing five spatial factors related to human activities to quantify the interference and enter into models as HI factor. Using different modeling methods (GLM, MaxEnt, and RF) and evaluation indices (AUC, TSS, and Kappa), diverse modeling strategies have been constructed in the study. A double-ranking method has been adopted to select the critical orchid distribution regions. The results showed that classification models based on physiological characteristics significantly improved the model’s accuracy while adding the HI factor had the same effect but the absence of enough significance. Suitability maps indicated that highly heterogeneous mountainous areas were vital for the distribution of orchids in the Hengduan Mountains. Different distribution patterns and critical regions existed between various orchid life forms geographically - terrestrial orchids were dominant in the mountain, and mycoherterophical orchids were primarily located in the north, more influenced by vegetation and temperature. Critical regions of epiphytic orchids were in the south due to a greater dependence on precipitation and temperature. These studies are informative for understanding the orchids’ geographic distribution patterns in the Hengduan Mountains, promoting conservation, and providing references for similar research beyond orchids.

Background: Respiratory birch pollen allergy and associated oral allergy syndrome affect more than 150 million people. IgE cross-sensitization to major birch pollen allergen Bet v 1 and pathogenesis-related (PR10) plant food allergens is responsible for the pollen-food allergy syndrome. Methods: We designed a recombinant protein, AB-PreS, consisting of non-allergenic peptides derived from the IgE binding sites of Bet v 1 and the cross-reactive apple allergen, Mal d 1, fused to the PreS domain of HBV surface protein as immunological carrier. AB-PreS was expressed in E. coli and purified by chromatography. The allergenic activity of AB-PreS was tested using sera and basophils from birch pollen patients allergic. The protective effect of AB-PreS was assessed by inhibition ELISA test using sera allergic patients and from immunized rabbits. Results: IgE-binding experiments and basophil activation test revealed the hypoallergenic nature of AB-PreS. IgG antibodies induced by 5 injections with AB-PreS inhibited allergic patients’ IgE binding to Bet v 1 and Mal d 1 better than did IgG induced by up to 30 injections of six licensed birch pollen allergen extract-based vaccines. Additionally, immunization with AB-PreS induced HBV-specific antibodies potentially protecting the infection. Conclusion: The recombinant AB-PreS-based vaccine is hypoallergenic, safe and superior to currently registered allergen extract-based vaccines for the treatment of the birch pollen food allergy syndrome.

The field of medicine is witnessing an exponential growth of interest in Artificial Intelligence (AI), which enables new research questions and the analysis of larger and new types of data. Nevertheless, applications that go beyond proof of concepts and deliver clinical value remain rare, especially in the field of allergy and immunology. This narrative review provides a fundamental understanding of the core concepts of AI and critically discusses its limitations and open challenges, such as data availability and bias, along with potential directions to surmount them. We provide a conceptual framework to structure AI applications within this field and discuss forefront case examples. Most of these applications of AI and machine learning in allergy concern supervised learning and unsupervised clustering, with a strong emphasis on diagnosis and subtyping. A perspective is shared on guidelines for good AI practice to guide readers in applying it effectively and safely, along with prospects of field advancement and initiatives to increase clinical impact. We anticipate that AI can further deepen our knowledge of disease mechanisms and contribute to precision medicine in allergy.

A new electrophilic monofluoromethylthiolating reagent N-fluoromethylthiophthalimide PhthSCH2F 1 was developed. Reagent 1 could be readily synthesized from easily available starting materials benzyl mercaptan and CH2FCl in three steps. N-fluoromethylthiophthalimide 1 is a powerful electrophilic monofluoromethylthiolating reagent that allows the monofluorome-thylthiolation of a wide range of nucleophiles including alkynes, aryl/vinyl boronic acids, electron-rich heteroarenes,-ketoesters and oxindoles, as well as thiols under mild conditions.

Aggregation-Induced Emission (AIE) is a unique phenomenon whereby aggregation of molecules induces fluorescence emission as opposed to the more commonly known Aggregation-Caused Quenching (ACQ). AIE has the potential to be utilized in the large-scale production of AIE-active polymeric materials because of their wide range of practical applications such as stimuli-responsive sensors, biological imaging agents, and drug delivery systems. This is evident from the increasing number of publications over the years since AIE was first discovered. In addition, the ever-growing interest in this field has led many researchers around the world to develop new and creative methods in the design of monomers, initiators and crosslinkers, with the goal of broadening the scope and utility of AIE polymers. One of the most promising approaches to the design and synthesis of AIE polymers is the use of the Reversible-Deactivation Radical Polymerization (RDRP) techniques, which enabled the production of well-controlled AIE materials that are often difficult to achieve by other methods. In this review, a summary of some recent works that utilize RDRP for AIE polymer design and synthesis is presented, including (1) the design of AIE-related monomers, initiators/crosslinkers; the achievements in preparation of AIE polymers using (2) Reversible Addition-Fragmentation Chain Transfer (RAFT) technique; (3) Atom Transfer Radical Polymerization (ATRP) technique; (4) other techniques such as Cu(0)-RDRP technique and Nitroxide-Mediated Polymerization (NMP) technique; (5) the possible applications of these AIE polymers and finally (6) a summary/perspective and the future direction of AIE polymers.